{"id":"W7047297214","doi":"","title":"ERIC ED449320: Schooling, Literacy and Individual Earnings. International Adult Literacy Survey.","year":2000,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literacy; Earnings; Robustness (evolution); Critical literacy; Human capital; Affect (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001016022,0.0009675214,0.0006516932,0.003512017,0.0003624536,0.0008003101,0.0009741551,0.0007000887,0.08576383],"category_scores_gemma":[0.004070915,0.0003870883,0.0002305146,0.00894916,0.0001297373,0.001256552,0.0007835485,0.000875047,0.0693341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580807,"about_ca_system_score_gemma":0.001799935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1425181,"about_ca_topic_score_gemma":0.1435591,"domain_scores_codex":[0.9995478,0.00007764925,0.0000700783,0.00006045934,0.0001749579,0.00006912593],"domain_scores_gemma":[0.9978647,0.0003045084,0.0003324734,0.00009887864,0.00117478,0.0002247121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003373445,0.00004415637,0.005831849,0.0001615601,0.000006192192,0.00001598829,0.00003825948,0.00007467832,0.00002721433,0.0007640761,0.9660105,0.0269919],"study_design_scores_gemma":[0.00009186763,0.00008063085,0.1623496,0.0004528283,0.00002168195,0.00006010668,0.0002305661,0.0002883338,0.0001470654,0.0007406731,0.8355109,0.00002569955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002104571,0.001164886,0.0004361961,0.0008602815,0.0002250166,0.0002457566,0.9457248,0.0003230554,0.04891541],"genre_scores_gemma":[0.01109439,0.003660647,0.001603406,0.0009416399,0.000200041,0.0008489735,0.8450794,0.0001388596,0.1364326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1425181,"threshold_uncertainty_score":0.2869086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00598483849991985,"score_gpt":0.217362631311415,"score_spread":0.2113777928114951,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}